Transcriptomic Evidence Reveals the Dysfunctional Mechanism of Synaptic Plasticity Control in ASD
Importantly, our work introduces a methodology for leveraging extensive transcriptomics data to parse the signal transduction network, transforming it into mSiReN, and mapping it back to the protein level. These algorithms can serve as potent tools in systems biology to analyze other omics and regulatory networks. Furthermore, the biomarkers within the activated sub-pathways, revealed by identifying convergent dysregulation, illuminate potential diagnostic and prognostic factors in ASD.
Authors
- Celso Grebogi (ORCID: https://orcid.org/0000-0002-9811-4617)
- Wen-Xu Wang (ORCID: https://orcid.org/0000-0002-4170-8676)
- Zi‐Gang Huang (ORCID: https://orcid.org/0000-0001-9648-3067)
- Zhitong Bing (ORCID: https://orcid.org/0000-0002-6302-8612)
- Lei Yang (ORCID: https://orcid.org/0000-0002-9039-8520)
- Chao Kong (ORCID: https://orcid.org/0000-0003-2685-797X)
Institutions
- University of Aberdeen (GB)
- Chinese Academy of Sciences (CN)
- Beijing Normal University (CN)
- Institute of Modern Physics (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Genes
- Published
- 2024-12-25
- DOI
- https://doi.org/10.3390/genes16010011
- Citations
- 1
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.34
Funders
- National Natural Science Foundation of China